Transactions in GIS . vol 19 n° 4Paru le : 01/08/2015 |
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Titre : GI Expertise Type de document : Article/Communication Auteurs : Matt Duckham, Auteur Année de publication : 2015 Article en page(s) : pp 499 – 515 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique
[Termes IGN] expertise
[Termes IGN] information géographique numérique
[Termes IGN] recherche scientifiqueRésumé : (auteur) This article concerns the identification of the expertise that GI scientists have in common. Rather than attempt to be exhaustive, the approach is to identify a minimal set of expert topics shared across GI science. In this article, a set of five expert topics is proposed for this purpose: structure, uncertainty, dynamism, language and cognition, and design with geographic information. The article then examines the extent to which the literature lends support for these five topics, using two analyses: first, a qualitative analysis of the papers found in the 2006 Classics from IJGIS; and second a citation analysis investigating the occurrences of keywords related to the proposed expert topics. The results suggest that these five areas of expertise do indeed tend to distinguish research in GI science from that in other fields, and in particular where the expert topics occur in combination. The establishment of an acknowledged core of shared expertise should assist in interdisciplinary research and teaching collaboration, usually founded on a shared understanding of what expertise different partners can contribute. Numéro de notice : A2015-680 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/tgis.12166 En ligne : http://dx.doi.org/10.1111/tgis.12166 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=78308
in Transactions in GIS > vol 19 n° 4 (August 2015) . - pp 499 – 515[article]Analyzing animal movement characteristics from location data / Dipto Sarkar in Transactions in GIS, vol 19 n° 4 (August 2015)
[article]
Titre : Analyzing animal movement characteristics from location data Type de document : Article/Communication Auteurs : Dipto Sarkar, Auteur ; Colin A. Chapman, Auteur ; Larry Griffin, Auteur ; Raja Sengupta, Auteur Année de publication : 2015 Article en page(s) : pp 516 – 534 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] analyse spatio-temporelle
[Termes IGN] Aves
[Termes IGN] habitat animal
[Termes IGN] migration animale
[Termes IGN] système d'information géographiqueRésumé : (auteur) When individuals of a species utilize an environment, they generate movement patterns at a variety of spatial and temporal scales. Field observations coupled with location technologies (e.g. GPS tags) enable the capture of detailed spatio-temporal data regarding these movement patterns. These patterns contain information about species-specific preferences regarding individual decision-making, locational choices and the characteristics of the habitat in which the animal resides. Spatial Data Mining approaches can be used to extract repeated spatio-temporal patterns and additional habitat preferences hidden within large spatially explicit movement datasets. We describe a method to determine the periodicity and directionality in movement exhibited by a migratory bird species. Results using a High Arctic-nesting Svalbard Barnacle Goose movement data yielded undetected patterns that were secondarily corroborated with expert field knowledge. Individual revisits by the geese to specific locations in the breeding and wintering grounds of Svalbard, Norway and Solway, Scotland, occurred with a periodicity of 334 days . Further, the orientation of this movement was detected to be mostly north-south. During long-range migration the geese use the north-south oriented Norwegian islands as “stepping stones”, Short-range movement between mudbank roosts to feeding fields in Solway also retained a north-south orientation. Numéro de notice : A2015-681 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/tgis.12114 En ligne : http://dx.doi.org/10.1111/tgis.12114 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=78310
in Transactions in GIS > vol 19 n° 4 (August 2015) . - pp 516 – 534[article]